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Your search keyword '"Czyżewski, Andrzej"' showing total 11 results
Start Over Author "Czyżewski, Andrzej" Topic multimodal
11 results on '"Czyżewski, Andrzej"'

1. Multimodal Attention Stimulator

Author

Czyzewski, Andrzej, Kostek, Bozena, Kosikowski, Lukasz, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Miesenberger, Klaus, editor, Bühler, Christian, editor, and Penaz, Petr, editor

Published
2016
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2. MODALITY corpus - SPEAKER 33 - COMMANDS C2

Author

Czyżewski, Andrzej, Kostek, Bożena, Bratoszewski, Piotr, Szykulski, Marcin, Kotus, Józef, Zaporowski, Szymon, Spaleniak, Paweł, and Odya, Piotr

Subjects
language, native speakers, multimodal, recordings
Abstract

The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.

Published
2016
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3. MODALITY corpus - SPEAKER 33 - SEQUENCE S1

Author

Czyżewski, Andrzej, Kostek, Bożena, Bratoszewski, Piotr, Szykulski, Marcin, Kotus, Józef, Zaporowski, Szymon, Spaleniak, Paweł, and Odya, Piotr

Subjects
language, native speakers, multimodal, recordings
Abstract

The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.

Published
2016
Full Text
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4. MODALITY corpus - SPEAKER 21 - COMMANDS C5

Author

Czyżewski, Andrzej, Kostek, Bożena, Bratoszewski, Piotr, Szykulski, Marcin, Kotus, Józef, Zaporowski, Szymon, Spaleniak, Paweł, and Odya, Piotr

Subjects
language, native speakers, multimodal, recordings
Abstract

The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.

Published
2016
Full Text
View/download PDF

5. MODALITY corpus - SPEAKER 17 - COMMANDS C4

Author

Czyżewski, Andrzej, Kostek, Bożena, Bratoszewski, Piotr, Szykulski, Marcin, Kotus, Józef, Zaporowski, Szymon, Spaleniak, Paweł, and Odya, Piotr

Subjects
language, native speakers, multimodal, recordings
Abstract

The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.

Published
2016
Full Text
View/download PDF

6. MODALITY corpus - SPEAKER 10 - SEQUENCE S1

Author

Czyżewski, Andrzej, Kostek, Bożena, Bratoszewski, Piotr, Szykulski, Marcin, Kotus, Józef, Zaporowski, Szymon, Spaleniak, Paweł, and Odya, Piotr

Subjects
language, native speakers, multimodal, recordings
Abstract

The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.

Published
2016
Full Text
View/download PDF

7. MODALITY corpus - SPEAKER 27 - SEQUENCE S6

Author

Czyżewski, Andrzej, Kostek, Bożena, Bratoszewski, Piotr, Szykulski, Marcin, Kotus, Józef, Zaporowski, Szymon, Spaleniak, Paweł, and Odya, Piotr

Subjects
language, native speakers, multimodal, recordings
Abstract

The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.

Published
2016
Full Text
View/download PDF

8. MODALITY corpus - SPEAKER 01 - SEQUENCE S5

Author

Czyżewski, Andrzej, Kostek, Bożena, Bratoszewski, Piotr, Szykulski, Marcin, Kotus, Józef, Zaporowski, Szymon, Spaleniak, Paweł, and Odya, Piotr

Subjects
language, native speakers, multimodal, recordings
Abstract

The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.

Published
2016
Full Text
View/download PDF

9. MODALITY corpus - SPEAKER 01 - COMMANDS C1

Author

Czyżewski, Andrzej, Kostek, Bożena, Bratoszewski, Piotr, Szykulski, Marcin, Kotus, Józef, Zaporowski, Szymon, Spaleniak, Paweł, and Odya, Piotr

Subjects
language, native speakers, multimodal, recordings
Abstract

The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.

Published
2016
Full Text
View/download PDF

10. MODALITY corpus - SPEAKER 40 - COMMANDS C1

Author

Czyżewski, Andrzej, Kostek, Bożena, Bratoszewski, Piotr, Szykulski, Marcin, Kotus, Józef, Zaporowski, Szymon, Spaleniak, Paweł, and Odya, Piotr

Subjects
language, native speakers, multimodal, recordings
Abstract

The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.

Published
2016
Full Text
View/download PDF

11. MODALITY corpus - SPEAKER 42 - SEQUENCE S1

Author

Czyżewski, Andrzej, Kostek, Bożena, Bratoszewski, Piotr, Szykulski, Marcin, Kotus, Józef, Zaporowski, Szymon, Spaleniak, Paweł, and Odya, Piotr

Subjects
language, native speakers, multimodal, recordings
Abstract

The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.

Published
2016
Full Text
View/download PDF

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